Fork of Task9&10 Question1

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Fork of Task9&10 Question1

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Last edited Apr 28, 2024

Created on Apr 26, 2024

Forked from Task9&10

This pie chart visualizes the distribution of iris flower species from a CSV dataset, showing the proportion of each species in the collection. The chart uses d3.pie and d3.arc to generate the pie slices, with an ordinal color scale from d3.schemeCategory10. A custom legend is built using HTML divs alongside the SVG chart, displaying color-coded species labels. The data is loaded and aggregated with d3.csv and d3.rollups, and the visualization is rendered as an SVG within a flex container.

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Pie Chart

MIT Licensed

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Task 9 - Question 1

This visualization displays the distribution of Iris flower species as a pie chart, with each slice representing the count of observations per species. The chart is generated using D3.js v6, employing the `pie()` layout and `arc()` generator to compute and render the slices, while `d3.rollup` aggregates the dataset by species. A legend and axis labels are included, rendered as SVG elements, and the chart reads from a remote CSV file containing the Iris dataset.

Vvarun.mahankali39@gmail.com

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Task9_1.1

This example shows the distribution of iris flower species as a pie chart, with each slice labeled by species name and count. The chart is rendered using D3 v7’s `d3.pie` and `d3.arc` to compute slice geometry, while `d3.rollup` aggregates the CSV data by species. A categorical color scale (`d3.scaleOrdinal` with `d3.schemeCategory10`) fills the slices, and annotations are positioned using the arc generator’s `centroid` method. The SVG output includes a legend built with appended rectangles and text.

Aamireddy.sw@gmail.com

89% match

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Task 9&10 Q1

This visualization presents a pie chart of iris sepal lengths grouped by species, with a color-coded legend identifying each species category. The chart uses D3.js v7 to load the iris dataset from GitHub, compute the pie layout with `d3.pie`, and render arcs with `d3.arc` as SVG paths. A legend is generated from the species labels, and each segment’s color is assigned via `d3.scaleOrdinal` with `d3.schemeCategory10`. The SVG includes a title and an axis label, though no interactive behavior or additional encoding is implemented beyond static display.

Nnsairitwikreddy@gmail.com

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task9

This example visualizes the distribution of flower species in the Iris dataset as a pie chart, with a color-coded legend displayed beside the chart. It uses D3 v7 to load CSV data via `d3.csv`, aggregate counts with `d3.rollups`, and render SVG arc paths generated by `d3.pie` and `d3.arc`. Colors are assigned through `d3.scaleOrdinal` with `d3.schemeCategory10`, and the legend is built dynamically in HTML with styled divs.

Aasheshpinisetti@my.unt.edu

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Fork of task 9 and 10 Q1 1

A pie chart displays the distribution of job titles from a CSV dataset, showing each title’s count as a labeled slice. D3 v7 loads the data with `d3.csv`, aggregates counts using `d3.rollup`, and renders pie arcs via `d3.pie` and `d3.arc`. Each slice is colored with `d3.scaleOrdinal` and `d3.schemeCategory10`, with labels placed at arc centroids. An HTML legend lists each title with a matching color swatch. The SVG output is sized at 600 by 600 pixels.

Ssruthimreddy6@gmail.com

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task9&10

This pie chart displays the proportional distribution of fruit quantities from a CSV file, labeling each slice with its fruit name and including a color-coded legend. Built with D3 v7, it uses the `d3.pie` and `d3.arc` generators to compute and render arcs as SVG paths, with `d3.scaleOrdinal` assigning categorical colors. Data is loaded asynchronously via `d3.csv`, and labels are positioned using `arc.centroid`.

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Question 1 Activity 7

This chart shows the distribution of Iris species in a pie chart, displaying each species with its count. The visualization is built with D3.js (v6.7.0) using the `d3.pie` and `d3.arc` layouts, with slices filled using `d3.scaleOrdinal` and `d3.schemeCategory10`. The SVG paths are generated server-side and rendered as inline SVG elements. Data comes from a remote CSV file loaded via `d3.csv` from the author's GitHub repository, and species frequencies are computed with `d3.rollup`. Hovering highlights slices via CSS transforms.

Kkommineniamarasadasivani2002@gmail.com

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Fork of activity7 question1

This pie chart displays the distribution of three flower species from a loaded CSV dataset. The visualization uses d3.pie and d3.arc to compute and render the slices, with d3.scaleOrdinal providing categorical colors. Species names appear as labels positioned at each slice's centroid using arc.centroid, and the entire chart is drawn as SVG elements within a 500x500 viewport. The chart loads data through d3.csv from a remote gist URL and converts count values to numbers for proportional slice sizing.

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